Alzheimer's disease is one of the leading causes of neurodegenerative disease. It's also one of the most studied topics in the scientific world because of the detrimental effect on a person's life. Earlier studies have found that noninvasive methods of identifying the disease may help individuals to improve lifestyle and other changes to their daily life. Other previous studies by Dr. Neuner et al. (2016) on "Systems Genetics Identifies Hp1bp3 as a Novel Modulator of Cognitive Aging" identified a genetic variable Hp1bp3 to contribute to Alzheimer's Disease. They stated that early detection of the gene might help detract the disease's progress early on to facilitate intervention and avoid further damage. They performed several tests and trials to show that targeting the gene variant may help combat the cognitive impairments that appear due to old age and Alzheimer's Disease. Further identification of specific regions of the gene sequence that contributes to cognitive impairment can provide researchers like Dr. Neuner and others to explore methods to combat the disease combined with enhanced advanced technologies.
Along with this progress, artificial intelligence methods have been emerging to detect the risks of Alzheimer's Disease in the scientific field. A recent finding on the early detection of Alzheimer's Disease in BMI and Pfizer found that "AI Assesses Alzheimer's Risk by Analyzing Word Usage" (Heu & Hsu, 2020). This finding is intriguing as it uses artificial intelligence that seems ordinary to detect physical symptoms of Alzheimer's Disease. In this study, the AI system observes "linguistic patterns in word usage" to detect the early onset of the diseases, which may be useful and beneficial for individuals who don't want to perform genetic testing using Neuner's study to detect the disease. The study utilized multigenerational longitudinal data to conclude the current study's findings with more 14, 000 individuals since 1948 involved in the study.
The researchers utilized digital transcriptions of handwritten responses from the participants who participated in the longitudinal study. The participants were asked to describe "a woman who is apparently preoccupied with washing dishes while two kids raid a cookie jar behind her back" (Heu & Hsu, 2020). When the participants write these descriptions, the advanced AI system can detect early signs of Alzheimer's Disease by the way the participants include "misspellings, repeated words and the use of simplified phrases rather than grammatically complex sentences" (Heu & Hsu, 2020). This, to the clinicians, showed significant signs of early symptoms of cognitive impairment. This hypothesis was supported when 70 percent of the participants in this study developed dementia associated with Alzheimer's Disease. This data was found to be a huge success in the scientific field as it shows that linguistic abilities can serve as a noninvasive method to detect cognitive impairments. However, the one factor that may prevent this system from going beyond this is that its usage in the non-Hispanic population is low, limiting and discriminating the majority of the world. However, the researchers are working on advancing this AI system further to the rest of the world by making it more friendly to the rest of the world. one way to accomplish this may be by making the AI model recognize speaking language rather than handwriting the message.
Combining the current finding with previous studies can bring a way to detect the early onset of Alzheimer's Disease. The current system used to find AI systems with linguistic impairments that happens to be noninvasive can be used in combination with genetic traits that can ensure early-onset cognitive impairments due to age or Alzheimer's Disease.
References
Hsu, J., & Hsu, J. (2020, October 22). AI Assesses Alzheimer’s Risk by Analyzing Word Usage. Scientific American. https://www.scientificamerican.com/article/ai-assesses-alzheimers-risk-by-analyzing-word-usage/
Neuner, S. M. (2017, June 17). Systems genetics identifies Hp1bp3 as a novel modulator of cognitive aging. PubMed. https://pubmed.ncbi.nlm.nih.gov/27460150/
My husband was diagnosed with early onset Parkinson's disease at 57.his symptoms were shuffling of feet,slurred speech, low volume speech, degradation of hand writing, horrible driving skills, right arm held at 45 degree angle, things were tough for me, but now he finally free from the disease with the help of total cure ultimate health home, he now walks properly and all symptoms has reversed, he had trouble with balance especially at night, getting into the shower and exiting it is difficult,getting into bed is also another thing he finds impossible.we had to find a better solution for his condition which has really helped him a lot,the biggest helped we had was ultimatehealthhome they walked us through the proper steps,am highly recommended this ultimatehealthhome@gmail.com to anyone who needs help.
ReplyDelete